DATA VISUAL ART

 

{Python}

import numpy as np
import matplotlib.pyplot as plt

def mandelbrot(h, w, maxit=50):
   y, x = np.ogrid[-1.5:1.5:h*1j, -2:1:w*1j]
   c = x + y*1j
   z = c.copy()
   div_time = np.zeros(z.shape, dtype=int)
   mask = np.ones(z.shape, dtype=bool)

   for i in range(maxit):
    z[mask] = z[mask]**2 + c[mask]
    mask, old_mask = abs(z) <= 2, mask
    div_time[old_mask & ~mask] = i
   return div_time

plt.figure(figsize=(8, 6))
plt.imshow(mandelbrot(800, 800, 100),
cmap='turbo', extent=(-2, 1, -1.5, 1.5))
plt.show()

(Recomendado)

  {R}

library(tidyverse)
library(hrbrthemes)
library(viridis)

data <- data.frame(
  name=c( rep("A",500), rep("B",500), rep("B",500),
          rep("C",20), rep('D', 100)  ),
  value=c( rnorm(500, 10, 5), rnorm(500, 13, 1),
           rnorm(500, 18, 1), rnorm(20, 25, 4), rnorm(100, 12, 1) )
)

data %>%
  ggplot( aes(x=name, y=value, fill=name)) +
    geom_boxplot() +
    scale_fill_viridis(discrete = TRUE, alpha=0.6) +
    geom_jitter(color="black", size=0.4, alpha=0.9) +
    theme_ipsum() +
    theme(
      legend.position="none",
      plot.title = element_text(size=11)
    ) 

(Fuente)

{Python}

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

size = 100
x = np.linspace(-2, 2, size)
y = np.linspace(-2, 2, size)
x, y = np.meshgrid(x, y)

z = np.sin(3*x) * np.cos(3*y)

fig = plt.figure(figsize=(8,8))
ax = fig.add_subplot(111, projection='3d')
ax.plot_surface(x, y, z, cmap='viridis', edgecolor='none')

ax.set_axis_off()
plt.show()

 {Python}

 

import numpy as np
import matplotlib.pyplot as plt

def draw_branch(x, y, angle, depth, ax):
    if depth == 0:
        return
    length = np.random.uniform(0.5, 1)
    x_new = x + length * np.cos(angle)
    y_new = y + length * np.sin(angle)
    ax.plot([x, x_new], [y, y_new], color="green", lw=depth / 5, alpha=0.8)
    draw_branch(x_new, y_new, angle + np.random.uniform(-0.5, 0.5), depth - 1, ax)
    draw_branch(x_new, y_new, angle - np.random.uniform(-0.5, 0.5), depth - 1, ax)

# Crear el árbol fractal
fig, ax = plt.subplots(figsize=(8, 10), facecolor="black")
draw_branch(0, -1, np.pi / 2, 10, ax)
ax.set_xticks([])
ax.set_yticks([])
ax.set_frame_on(False)
plt.show()